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FDE-Gym: The Last Mile of AI Delivery

Paper recorded by Signals 4 on 2026-10-15 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.AI · 人工智能 · first seen 2026-10-16

Abstract

Existing agent benchmarks typically evaluate agents on well-specified tasks defined by issue reports, specifications, or task tickets. Real-world customer delivery is different: forward-deployed engineers (FDEs) must clarify ambiguous requirements, work in live systems, and uncover unstated constraints. We introduce FDE-Gym, a benchmark of 95 end-to-end delivery tasks from 20 customer scenarios ac

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#286 most recent of 960 cs.AI papers we have recorded · ↑ newer: Rethinking Routing Exploration in Modern Mixture-of-Experts · ↓ older: MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Le

Cite this page: FDE-Gym: The Last Mile of AI Delivery: the #286 most recent of 960 cs.AI papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/fde-gym-the-last-mile-of-ai-delivery.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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